Data Scientist

1w1 week ago

Hewlett Packard Enterprise

San Jose, US · Full-time · $155,500 – $315,000

About this role

The Data Scientist (AI Cloud Developer) builds scalable, data-driven solutions from the ground up to address mission-critical business challenges. This role explores innovative statistical, machine learning, and AI methodologies to deliver end-to-end analytical solutions. These efforts drive measurable business impact across HPE's edge-to-cloud platforms.

Apply advanced analytical thinking to deconstruct complex, multi-dimensional datasets and engineer novel algorithms, models, and methodologies. Conduct initial exploratory data analysis through prototyping, model development, validation, and production deployment of ML/AI solutions. Focus on solving business problems in wireless and wired network diagnostics, root causing, and optimization.

Collaborate cross-functionally with data engineers, MLOps teams, product managers, and business stakeholders. Ensure robust model performance, efficient pipeline orchestration, continuous monitoring, and sustainable operationalization of data science solutions at scale. Work in a hybrid model averaging 2 days per week from an HPE office.

Hewlett Packard Enterprise advances the edge-to-cloud era, helping companies connect, protect, analyze, and act on data. The culture thrives on finding new ways to accelerate what's next, valuing varied backgrounds and flexibility. Stretch and grow your career as a subject matter expert providing team leadership and mentoring.

Requirements

Advanced subject matter knowledge to solve complex business issues
Expertise in statistical, machine learning, and AI methodologies
Ability to engineer ML/AI solutions from exploratory data analysis through production deployment
Experience with MLOps, pipeline orchestration, and continuous monitoring
Knowledge of big data processing for machine learning algorithms
Familiarity with Agentic AI applications in networking
Skills in cloud solutions development and CI/CD pipelines
Significant independent judgment for achieving objectives

Responsibilities

Apply advanced analytical thinking to deconstruct complex datasets and engineer novel algorithms, models, and methodologies for business problems
Collaborate cross-functionally with data engineers, MLOps teams, product managers, and business stakeholders to operationalize solutions at scale
Develop innovative data products, predictive models, and analytical frameworks to drive strategic decision-making
Work with domain experts to identify and formalize machine learning problems for network diagnostics, root causing, remediation, and optimization
Design, implement, and validate machine learning algorithms on big data
Guide and oversee deployment of machine learning solutions and monitor their operation
Use Agentic AI to solve networking problems
Deploy cloud-based systems and applications using continuous integration/deployment pipelines